Summary

This is an example R Markdown report to demonstrate the workflow for building a “data memo” or report object in parallel with the conduct of your analysis.

Descriptive Statistics

Demographics Summary

Mean Concentration by Dose Group and Time

Exploratory Data Analysis (EDA)

Time Concentration by Subject

Time Concentration by Dose Group

Time Concentration by Subject and WT Cut

Model Compartment Scenarios

We evaluated the AIC for a one, two, and three compartment fit:

We can see that the more parsimonious one compartment model should be selected as the base model.

Model Diagnostic Plots

DV PRED vs IDV

CWRES vs PRED

Session Information

## R version 4.2.1 (2022-06-23 ucrt)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 19045)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_United States.utf8  LC_CTYPE=English_United States.utf8    LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C                           LC_TIME=English_United States.utf8    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] xpose_0.4.16             Certara.Xpose.NLME_1.2.0 Certara.RsNLME_1.2.0     ggplot2_3.4.2           
##  [5] flextable_0.7.0          gtsummary_1.6.0          lubridate_1.8.0          tidyr_1.3.0             
##  [9] dplyr_1.1.0              haven_2.4.3             
## 
## loaded via a namespace (and not attached):
##  [1] nlme_3.1-157        webshot_0.5.3       RColorBrewer_1.1-3  bslib_0.4.0         tools_4.2.1        
##  [6] utf8_1.2.2          R6_2.5.1            mgcv_1.8-40         colorspace_2.0-3    withr_2.5.0        
## [11] tidyselect_1.2.0    gridExtra_2.3       GGally_2.1.2        processx_3.5.2      compiler_4.2.1     
## [16] textshaping_0.3.6   cli_3.6.0           gt_0.5.0            xml2_1.3.3          shinyjs_2.1.0      
## [21] officer_0.4.1       shinymaterial_1.2.0 sass_0.4.1          labeling_0.4.2      scales_1.2.1       
## [26] readr_2.1.2         callr_3.7.0         systemfonts_1.0.4   stringr_1.5.0       digest_0.6.31      
## [31] rmarkdown_2.16      base64enc_0.1-3     Certara.NLME8_1.2.3 pkgconfig_2.0.3     htmltools_0.5.5    
## [36] highr_0.9           fastmap_1.1.0       rlang_1.1.0         rstudioapi_0.13     shiny_1.7.4        
## [41] jquerylib_0.1.4     farver_2.1.1        generics_0.1.2      jsonlite_1.8.0      zip_2.2.0          
## [46] magrittr_2.0.3      Matrix_1.4-1        Rcpp_1.0.10         munsell_0.5.0       fansi_1.0.3        
## [51] gdtools_0.2.4       lifecycle_1.0.3     stringi_1.7.12      yaml_2.3.5          MASS_7.3-57        
## [56] plyr_1.8.8          grid_4.2.1          promises_1.2.0.1    forcats_0.5.1       egg_0.4.5          
## [61] lattice_0.20-45     splines_4.2.1       hms_1.1.2           knitr_1.39          ps_1.6.0           
## [66] pillar_1.8.1        uuid_1.0-4          glue_1.6.2          evaluate_0.15       data.table_1.14.8  
## [71] broom.helpers_1.7.0 vctrs_0.5.2         tzdb_0.2.0          tweenr_1.0.2        httpuv_1.6.5       
## [76] gtable_0.3.1        purrr_1.0.1         polyclip_1.10-0     reshape_0.8.9       assertthat_0.2.1   
## [81] cachem_1.0.6        xfun_0.31           ggforce_0.3.3       mime_0.12           xtable_1.8-4       
## [86] later_1.3.0         ragg_1.2.2          tibble_3.1.8        ellipsis_0.3.2